بررسی و مدل‌سازی اثر آلودگی هوا بر سلامت، با استفاده از شبکه عصبی مصنوعی

Background & Objectives: Economic growth has been along with increasing energy demand in the world in addition environment pollutions which healthy life nowadays faces up with major challenges. Since there are several influential factors in this model, therefore this study designed to assess the effect of some independent socio-economic variables on the people health. Methods: An artificial neural network (ANN) was developed to review health risk factors during the years 1971-2009. Using neural network methods in the study or the MPL method is .multi-layer perception. Results: In ANN selected for this study, one hidden layer with three nodes is selected. Being more important the urban variable in modeling shows that the positive effect of urbanization on the health is more powerful than negative effects of air pollution. Conclusion: Based on our model it is concluded that urbanization as a major risk factor to produce (accelerate) of air pollution, has the most negative effect on health and life expectancy.